Learning how to do things with imitation

A. Alissandrakis, C.L. Nehaniv, K. Dautenhahn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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In this paper we discuss how agents can learn to do things by
imitating other agents. Especially we look at how the use of
different metrics and sub-goal granularity can affect the
imitation results. We use a computer model of a chess world as
a test-bed to also illustrate issues that arise when there is
dissimilar embodiment between the demonstrator and the
imitator agents.
Original languageEnglish
Title of host publicationAAAI Fall Symposium 2000
Publication statusPublished - 2000

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